Python Bar Charts using Django
In Python Bar Charts, data is represented in the form of rectangular bars with length proportional to their value. It's also referred to as column chart when bars are plotted vertically. Library lets you add different variants of bar charts like Bar, Stacked Bar & Stacked Bar 100% Chart to your Django app.
In bar charts, positive values are plotted towards right side & negative towards left, unless y-axis is reversed.
Python Bar Charts
Bar Charts use horizontal rectangular bars with width proportional to it’s value.
Python Stacked Bar Charts
In Stacked Bar Charts, bars from each dataseries are stacked horizontally one on top of another to show relation between individual value to the total sum.
Features Commonly Used in Python Bar Charts
Most commonly used features in Python bar charts include beveling the bars, limiting bar’s max-width, changing the color of the bar, showing indexlabels, etc.
- Beveling / Chisel effect on each bar can be enabled by setting bevelEnabled property to true.
- Datapoint width can be limited by setting dataPointWidthMaxWidth property.
- Color of the bar can be changed by setting color property.
- Indexlabel can be shown next to particular bar by setting indexLabel property of datapoint.
Python Bar Chart Types
General Tips for Python Bar Charts
- Don’t make users do math. If the chart makes it difficult to understand an important relation between the variables, do the necessary calculation & display that as well. You can also use built-in features like #total, #percent.
- Show zero baseline in horizontal axis if & only if it’s required. Bar charts should ideally show changes / variations in value clearly. Including zero in y-axis might not make the variations obvious when the variation in y values are small compared to their values.
- Use multiple axes when two dataseries have different units / scale ranges.